Cardiovascular dynamics during head-up tilt assessed via pulsatile and non-pulsatile models

Williams, Nakeya D.; Brady, Renee; Gilmore, Steven; Gremaud, Pierre A.; Tran, Hien T.; Ottesen, Johnny T.; Mehlsen, Jesper; Olufsen, Mette S.

doi:10.1007/s00285-019-01386-9

Cited by 13 publications

(15 citation statements)

References 27 publications

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“…2013; Williams et al . 2019) and that pain intensity correlates with the increase in resistance (Maixner et al . 1990; Saccò et al .…”

Section: Methodsmentioning

confidence: 99%

“…The cardiovascular model is limited to the systemic circulation and, similarly to our previous study (Williams et al . 2019), we model the cardiovascular system as an electrical circuit with capacitors and resistors. Our model (Fig.…”

Section: Methodsmentioning

confidence: 99%

“…The model only accounts for significant BP and HR changes over hours (i.e., it does not incorporate beat-to-beat beating of the heart and respiratory dynamics). The cardiovascular model is limited to the systemic circulation and, similarly to our previous study (Williams et al 2019), we model the cardiovascular system as an electrical circuit with capacitors and resistors. Our model ( Fig.…”

Section: Figure 1 Experimental Protocolmentioning

confidence: 99%

“…As noted earlier, the relevant timescale in this study is hours, and we only consider mechanisms that regulate vascular resistance over this timescale. It has been suggested that acute pain perception stimulates sympathetic neurons, increasing peripheral vascular resistance (Saccò et al 2013;Williams et al 2019) and that pain intensity correlates with the increase in resistance (Maixner et al 1990;Saccò et al 2013). Janum et al (2016) showed that subjects receiving LPS experienced enhanced pain perception as a result of a decline in the PT.…”

Section: Figure 1 Experimental Protocolmentioning

confidence: 99%

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A physiological model of the inflammatory‐thermal‐pain‐cardiovascular interactions during an endotoxin challenge

Dobreva

Brady‐Nicholls

Larripa

et al. 2021

The Journal of Physiology

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Key points Inflammation in response to bacterial endotoxin challenge impacts physiological functions, including cardiovascular, thermal and pain dynamics, although the mechanisms are poorly understood. We develop an innovative mathematical model incorporating interaction pathways between inflammation and physiological processes observed in response to an endotoxin challenge. We calibrate the model to individual data from 20 subjects in an experimental study of the human inflammatory and physiological responses to endotoxin, and we validate the model against human data from an independent study. Using the model to simulate patient responses to different treatment modalities reveals that a multimodal treatment combining several therapeutic strategies gives the best recovery outcome. Abstract Uncontrolled, excessive production of pro‐inflammatory mediators from immune cells and traumatized tissues can cause systemic inflammatory conditions such as sepsis, one of the ten leading causes of death in the USA, and one of the three leading causes of death in the intensive care unit. Understanding how inflammation affects physiological processes, including cardiovascular, thermal and pain dynamics, can improve a patient's chance of recovery after an inflammatory event caused by surgery or a severe infection. Although the effects of the autonomic response on the inflammatory system are well‐known, knowledge about the reverse interaction is lacking. The present study develops a mathematical model analyzing the inflammatory system's interactions with thermal, pain and cardiovascular dynamics in response to a bacterial endotoxin challenge. We calibrate the model with individual data from an experimental study of the inflammatory and physiological responses to a one‐time administration of endotoxin in 20 healthy young men and validate it against data from an independent endotoxin study. We use simulation to explore how various treatments help patients exposed to a sustained pathological input. The treatments explored include bacterial endotoxin adsorption, antipyretics and vasopressors, as well as combinations of these. Our findings suggest that the most favourable recovery outcome is achieved by a multimodal strategy, combining all three interventions to simultaneously remove endotoxin from the body and alleviate symptoms caused by the immune system as it fights the infection.

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“…2013; Williams et al . 2019) and that pain intensity correlates with the increase in resistance (Maixner et al . 1990; Saccò et al .…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Figure 1 Experimental Protocolmentioning

confidence: 99%

Section: Figure 1 Experimental Protocolmentioning

confidence: 99%

See 2 more Smart Citations

A physiological model of the inflammatory‐thermal‐pain‐cardiovascular interactions during an endotoxin challenge

Dobreva

Brady‐Nicholls

Larripa

et al. 2021

The Journal of Physiology

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“…Similarly, whenever pulsatility has no decisive role, for example, when all the tissue compartments can be equated to a single compartment, the role of pulsatility con equally be overlooked. Indeed, Grodins' model is nonpulsatile as are subsequent models [74][75][76][77].…”

Section: Computational and Mathematical Methods In Medicinementioning

confidence: 99%

Seven Mathematical Models of Hemorrhagic Shock

Curcio

D’Orsi

Gaetano

2021

Computational and Mathematical Methods in Medicine

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Although mathematical modelling of pressure-flow dynamics in the cardiocirculatory system has a lengthy history, readily finding the appropriate model for the experimental situation at hand is often a challenge in and of itself. An ideal model would be relatively easy to use and reliable, besides being ethically acceptable. Furthermore, it would address the pathogenic features of the cardiovascular disease that one seeks to investigate. No universally valid model has been identified, even though a host of models have been developed. The object of this review is to describe several of the most relevant mathematical models of the cardiovascular system: the physiological features of circulatory dynamics are explained, and their mathematical formulations are compared. The focus is on the whole-body scale mathematical models that portray the subject’s responses to hypovolemic shock. The models contained in this review differ from one another, both in the mathematical methodology adopted and in the physiological or pathological aspects described. Each model, in fact, mimics different aspects of cardiocirculatory physiology and pathophysiology to varying degrees: some of these models are geared to better understand the mechanisms of vascular hemodynamics, whereas others focus more on disease states so as to develop therapeutic standards of care or to test novel approaches. We will elucidate key issues involved in the modeling of cardiovascular system and its control by reviewing seven of these models developed to address these specific purposes.

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A Unified Computational Model for the Human Response to Lipopolysaccharide-Induced Inflammation

Windoloski

Bangsgaard

Dobreva

et al. 2022

Mathematics Online First Collections

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Cardiovascular dynamics during head-up tilt assessed via pulsatile and non-pulsatile models

Cited by 13 publications

References 27 publications

A physiological model of the inflammatory‐thermal‐pain‐cardiovascular interactions during an endotoxin challenge

A physiological model of the inflammatory‐thermal‐pain‐cardiovascular interactions during an endotoxin challenge

Seven Mathematical Models of Hemorrhagic Shock

A Unified Computational Model for the Human Response to Lipopolysaccharide-Induced Inflammation

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